Alper Mustafa SelverMehmet Mert TaygurMustafa SeçmenEmine Yeşim ZoralZoral, Emine YesimSelver, Mustafa AlperTaygur, Mehmet MertSecmen, Mustafa2025-10-06201615582221, 0018926X0018-926X1558-222110.1109/TAP.2016.25674382-s2.0-84978194458https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978194458&doi=10.1109%2FTAP.2016.2567438&partnerID=40&md5=78ac984e833b0a7b7cc9ad59be96d868https://gcris.yasar.edu.tr/handle/123456789/9789https://doi.org/10.1109/TAP.2016.2567438Classification of objects from scattered electromagnetic waves is a difficult problem as it heavily depends on aspect angle. To minimize this dependency distinguishable features can be used. In this paper we propose a target identification method in the resonance scattering region using a novel structural feature set based on the scattered signal waveform. To obtain robustness at low signal-to-noise ratio (SNR) a multiscale approximation is used for distortion correction prior to the feature extraction. This is achieved by an overlapping grid hierarchical radial basis function (HRBF<inf>OG</inf>) network topology which is demonstrated to outperform existing HRBF techniques. The results obtained from the simulations and the measurements performed for various targets show high accuracy for classification with the proposed feature set robustness through the use of HRBF at low SNR and efficient computation in real time. © 2017 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessMultiscale Analysis (msa), Neural Networks (nns), Resonance Scattering Region, Target Classification, Time Domain Analysis, Electromagnetic Waves, Feature Extraction, Radial Basis Function Networks, Signal To Noise Ratio, Hierarchical Reconstruction, Low Signal-to-noise Ratio, Multi Scale Analysis, Neural Networks (nns), Radial Basis Functions, Resonance Scattering, Target Classification, Target Identification, Time Domain AnalysisElectromagnetic waves, Feature extraction, Radial basis function networks, Signal to noise ratio, Hierarchical reconstruction, Low signal-to-noise ratio, Multi scale analysis, Neural networks (NNS), Radial basis functions, Resonance scattering, Target Classification, Target identification, Time domain analysisMultiscale Analysis (MSA)Neural Networks (NNs)Target ClassificationResonance Scattering RegionTime Domain AnalysisArticle